Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/76480
Type: Artigo de periódico
Title: A nonlinear prediction approach to the blind separation of convolutive mixtures
Author: Suyama, R
Duarte, LT
Ferrari, R
Rangel, LEP
Attux, RRD
Cavalcante, CC
Von Zuben, FJ
Romano, JMT
Abstract: We propose a method for source separation of convolutive mixture based on nonlinear prediction-error filters. This approach converts the original problem into an instantaneous mixture problem, which can be solved by any of the several existing methods in the literature. We employ fuzzy filters to implement the prediction-error filter, and the efficacy of the proposed method is illustrated by some examples. Copyright (C) 2007 Hindawi Publishing Corporation. All rights reserved.
Country: EUA
Editor: Springer
Rights: aberto
Identifier DOI: 10.1155/2007/43860
Date Issue: 2007
Appears in Collections:Artigos e Materiais de Revistas Científicas - Unicamp

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